Indonesia vs Malaysia

Indonesia vs Malaysia: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 16.5 nights, or 1.05 times that in Indonesia.

Watch it change on the map

nights a year · CMIP6

Indonesia vs Malaysia: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 16.5 nights, or 1.05 times that in Indonesia.
IndonesiaMalaysiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malaysia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Indonesia at 334.7 nights and Malaysia at 354.8 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaMalaysia
2014306.5323
2013306.4323.9
2012306.3323.3
2011304.6320.9
2010305.6320.9
2009303.9320.3
2008303.4317.9
2007302.8317.8
2006302.8317.3
2005303.1318.4
2004303.8319.4
2003301.9316
2002301.5316
2001302.5316.5
2000300.9314.5
1999300.4312.9
1998299.1312.5
1997297.9310.6
1996296.9307.1
1995296.7307.3
1994294.6304.1
1993291.6298.2
1992288.5293.6
1991297.5308.9
1990298.6310.4
1989296306.9
1988296.5306.8
1987295.6306
1986295.8305.5
1985292.8301.7
1984293.4302.1
1983290.1297.2
1982294.4302.6
1981294.8303.7
1980294.5303.3
1979294.1302.4
1978292.4301
1977293.4301.3
1976290.8298.9
1975290.7297.7
1974291.5298.1
1973293299.1
1972290.7297
1971291.2298.3
1970288.9296
1969290.4297.4
1968289.1295.2
1967288.4293.1
1966290.5296.2
1965288.1293.1
1964286.2291.3
1963286.4291.6
1962291.2299.1
1961292.9299.5
1960292.8300.1
1959291.9299.9
1958293.3301.7
1957290.8299
1956291.5298.1
1955292.4299.3
1954290296.8
1953291.4298.8
1952291.7299.4
1951291.7299.1
1950291.8300
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaMalaysia
2015308295.7–315.1324.4308.5–333.7
2016307.5296.9–315.6323.8310.5–334.9
2017308.4295.5–315.6325.6309.9–334.4
2018308.9296.4–316.6325.7310.7–335.4
2019309.9297.8–316.7326.4311.9–335.3
2020310.9299–318.6328313.4–337.7
2021310.4298.7–316.4328.8314–336.3
2022311.4300–319.6329315.3–339
2023311.4300.1–320.6330.1316–340.5
2024313.2302–321.2332319.6–340.7
2025312300.2–321.9330.3317.7–342
2026312.6299.9–322.8330.2315.1–342.9
2027312.7301–321.6331315.2–342.4
2028313.8302.4–321.9332.4319–341.9
2029315.5303.9–324.1334.4322.5–344.9
2030314.2303.1–322.6333.4319.2–342.6
2031314.4301.6–321.9333.8317.1–342.5
2032316.9304.8–325.8336.5323.3–345.9
2033316.6305.4–323.3336.4322.5–343.3
2034315.4303.9–323.9334.8322.7–344.3
2035316.3305.6–327.9334.7323.3–347.9
2036317.7305.2–326.2336.9320.7–346.2
2037318.1306.6–325.2338.3325.4–345.3
2038319.3307.6–326.7339.7326.9–347.4
2039319.4307.7–326.7340326–347.4
2040318.5306.5–329338.6325.1–349
2041320.2308.3–328340.3326.3–348.1
2042320308.7–329.2339.9326.9–349.6
2043318.6306.6–327.8338.3324.3–348.3
2044321309–329.6340.6326.3–350.4
2045320.8308.6–329.8340.9327.4–349.8
2046322.8308.8–331343.3327.6–351.4
2047323.2308.8–333343325.3–352.9
2048322.3310.5–332.3342.6329–352.5
2049323.8311.6–334.1343.8331.1–354.1
2050323.3310.3–333.5342.7328.1–353.5
2051323.6311.2–334.4344.5330.7–354.3
2052325.1311.7–334.7345.1330.3–355
2053323.9310.9–333.8344.2331–353.5
2054324.4311.9–335.4345330.1–354.6
2055325.3312.6–335346.1332–354.3
2056325.9312.4–337.2346.5332.2–356.6
2057326.9311.9–335.2347.9332.3–355.4
2058326.4313–336.3347333.5–355.6
2059326.4313.9–337.8346.9333.4–356.2
2060329.5314.9–338.2349.7334.9–357.3
2061327.9313.6–336.9348.4334.1–356.1
2062327.6312.4–339.1348.4331.8–357.7
2063327.6313.9–339.4348.7333.2–357.7
2064328.8314.4–338.6349.1333.8–357.5
2065327.6314.3–337.9348.6334.6–356.8
2066328.6314.7–338.5349.3335–357.5
2067328.8314.3–338349.1334–356.6
2068329.8314.4–339.9350334.6–358.7
2069329.5315.5–339.3349.5334.2–357.9
2070328.6315.1–338.8349.2336.2–357.7
2071331.4315.5–340.4350.9336.1–358.6
2072330.3315.9–339.4351337.2–357.9
2073331.4317.7–341351.1338.7–359.9
2074329.9316.8–341.1350337.8–359.4
2075330.5315.2–340.2350.5335.4–358.1
2076331.5316.2–341.2351.6337.5–359.7
2077332315.9–341.8352.4336.4–359.9
2078331.4318.2–340.9351.3338.9–358.8
2079331.5316.6–341.5351.8337.9–359.7
2080332.4317.4–343.2352.4338.8–360.7
2081332.3318.4–341.8352.2337.3–359.7
2082332.8317.8–340.4352.7336.9–358.9
2083333.1318.7–342.6352.5339.6–360.4
2084333317.8–342.7353.5337.9–360.4
2085332.6318.1–342.7352.9340.2–360.2
2086333.1318.9–342.3352.8339.9–360
2087332.6318–343.2352.8338.4–361
2088334.5319.5–343.1354340–360.9
2089333.6319–342.6353.7339.7–359.9
2090333.3319.6–343.3353.3340.3–360.6
2091334.5318.2–343.9354.7338.9–361
2092335.1319.7–343.6355.3340.4–361.7
2093333.9320–344.9353.5339.3–362
2094335.6320.4–342.8355.4341.2–360.4
2095335.4319.7–343355339.4–360.6
2096334.3319.4–346.1353.6339.6–363.1
2097334.2319.5–343.3354.3339.5–360.6
2098334.9319.4–343.4354.8340.2–360.7
2099334.4319.4–344.6353.7340–361.8
2100334.7318.7–343.3354.8340.4–360.8

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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